PERSON RE-IDENTIFICATION BASED ON VIDEO FACE FEATURES IN REAL TIME FRAMEWORK
DOI:
https://doi.org/10.61841/52jkdv52Keywords:
person re-identification based on video face features in real time frameworkAbstract
One of the main tasks is to distinguish a person captured in a police work event, such as a face recognition, picture or video. This means matching the faces in each still pictures and video footage. Automated facial acknowledgment for pictures with principle quality can perform palatable execution, aside from video-based facial acknowledgment, whichishardtoaccomplish.Recognition compared to still images, many disadvantages of their area unit video footage. Facial picture varieties, for example, enlightenment, introduction, posture, impediment and movement, are halfway genuine in video scenes. During this undertaking, we will actualize a video coordinating way to deal with coordinate pictures by giving up recordings Grossman Multiple Learning Approach and Convolutional Neural Network formula to understand unknown competition. Finally, givevoice alerts in real-time situations unknown. Combine SMS alert and email alert at unknown facedetection.
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References
1. M. Ayazoglu, B. Li, C. Dicle, M. Sznaier,andO.Camps.Dynamicsubspace- based coordinated multicamera tracking. In 2011 IEEE International Conference on Computer Vision(ICCV), pages 2462– 2469, Nov.2011.
2. D. Baltieri, R. Vezzani, and R. Cucchiara. Learning articulated body models for people re-identification. In Proceedingsof the 21st ACM International Conference on Multimedia, MM ’13,pages 557–560, New York, NY, USA, 2013. ACM.
3. D. Baltieri, R. Vezzani, and R. Cucchiara. Mapping appearance descriptors on 3d body models for people reidentification. International Journal of Computer Vision, 111(3):345–364,2015.
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